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Title: Understanding and Predicting Teachers' Intention to Use Educational Chatbots
Authors: Celik, Ismail
Muukkonen, Hanni
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Celik, I. & Muukkonen, H. (2023). Understanding and predicting teachers' intention to use educational chatbots. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 906-909). International Society of the Learning Sciences.
Abstract: Less is known about factors affecting teachers’ educational chatbot use. Therefore, the current study attempted to extend Technology Acceptance Model (TAM) constructs (ease of use, perceived usefulness, and attitude) by adding subjective norm and trust; then, investigate how these constructs influenced teachers’ intention to use educational chatbots. Results indicated that together ease of use and perceived usefulness contributed to attitude towards using educational chatbots, in turn, a positive attitude led to an increase in the intention to use. Whereas perceived usefulness is found to have positive effect on intention to use, no relation is seen between ease of use and intention to use. Further, subjective norm and teachers’ trust in educational chatbots are found to be positive determinants of the intention to use educational chatbots. Our study implies that developers of educational chatbots should consider not only the technical but also the pedagogical features of chatbots.
Description: Short Paper
Appears in Collections:ISLS Annual Meeting 2023

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